Výsledky vyhledávání - "ARORA, PIYUSH"

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Hybrid Sample Synthesis-based Debiasing of Classifier in Limited Data Setting

Deep learning models are known to suffer from the problem of bias, and researchers have been exploring methods to address this issue. However, most of these methods require prior knowledge of the bias and are not always practical. In this paper, we f

Externí odkaz: http://arxiv.org/abs/2312.08288

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Comparative Analysis of Transformers for Modeling Tabular Data: A Casestudy using Industry Scale Dataset

Autor: Singh, Usneek, Arora, Piyush, Ganesan, Shamika, Kumar, Mohit, Kulkarni, Siddhant, Joshi, Salil R.

We perform a comparative analysis of transformer-based models designed for modeling tabular data, specifically on an industry-scale dataset. While earlier studies demonstrated promising outcomes on smaller public or synthetic datasets, the effectiven

Externí odkaz: http://arxiv.org/abs/2311.14335

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Akademický článek

Assessing layer deviations and correction for robotic polymer 3D printing applications

Autor: Tauqir, Minahil, Mohiuddin, Abdullah, Samson, Remy, Arora, Piyush, Mertiny, Pierre, Nobes, David, Qureshi, Ahmed

Publikováno v: In Procedia CIRP 2024 129:240-245

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Shrinkage Compensation and Effect of Building Orientation on Mechanical Properties of Ceramic Stereolithography Parts.

Autor: Arora, Piyush¹ (AUTHOR) parora2@ualberta.ca, Mostafa, Khaled G.¹ (AUTHOR) kmostafa@ualberta.ca, Russell, Emmanuel² (AUTHOR) emmanuel.russell@rwth-aachen.de, Dehgahi, Shirin¹ (AUTHOR) dehgahi@ualberta.ca, Butt, Sajid Ullah^1,3 (AUTHOR) sajidullahbutt@ceme.nust.edu.pk, Talamona, Didier⁴ (AUTHOR) didier.talamona@nu.edu.kz, Qureshi, Ahmed Jawad¹ (AUTHOR) ajqureshi@ualberta.ca

Publikováno v: Polymers (20734360). Oct2023, Vol. 15 Issue 19, p3877. 17p.

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Akademický článek

Investigation of Tensile Behavior of Carbon Nanotube/Coir Fiber/Fly Ash Reinforced Epoxy Polymer Matrix Composite

Autor: Gopalan Venkatachalam, Velivela Hemanth, Molanganuru Logesh, Arora Piyush, Mahalingam Siva kumar, Vignesh Pragasam, Thozhuvur Govindaraman Loganathan

Publikováno v: Journal of Natural Fibers, Vol 20, Iss 1 (2023)

Fiber-reinforced composite materials are lightweight and can withstand heavy loading conditions. Reinforcement augments the strength of the composite material, which is assessed by its elastic modulus. An attempt is made to reinforce epoxy with Coir

Externí odkaz: https://doaj.org/article/6c7a6d748eb9467d905cae15d157088f

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